Risk assessment by failure mode and effects analysis (FMEA) using an interval number based logistic regression model

•This paper addresses the shortcomings of traditional RPN calculation during failure mode and effect analysis, and proposes a systematic approach for identifying and evaluating potential failures using the methodology of interval number based logistic regression approach. A comparative analysis of t...

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Veröffentlicht in:	Safety science Jg. 132; S. 104967
Hauptverfasser:	Bhattacharjee, Pushparenu, Dey, Vidyut, Mandal, U.K.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier Ltd 01.12.2020 Elsevier BV
Schlagworte:	Causality Electric power generation Failure analysis Failure modes FMEA Interval number Logistic regression Logit models Machine learning Methodology Power plants Probability Probability of risk of failure Pumps Regression analysis Regression models Risk assessment Risk factors Risk Priority Number (RPN) Risk reduction Safety research Statistical analysis Logistic regression Probability of risk of failure FMEA Risk assessment Interval number Machine learning Risk Priority Number (RPN)
ISSN:	0925-7535, 1879-1042
Online-Zugang:	Volltext
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